J. Cho and S. Roy, Impact of search engines on page popularity, Proceedings of the 13th conference on World Wide Web , WWW '04, pp.20-29, 2004.
DOI : 10.1145/988672.988676

R. Veltkamp, A Survey of Content-Based Image Retrieval Systems, Tech. Rep, 2002.
DOI : 10.1007/978-1-4615-0987-5_5

M. Wood, N. Campbell, and B. Thomas, Iterative refinement by relevance feedback in content-based digital image retrieval, Proceedings of the sixth ACM international conference on Multimedia , MULTIMEDIA '98, pp.13-20, 1998.
DOI : 10.1145/290747.290750

T. Huang and X. Zhou, Image retrieval with relevance feedback: from heuristic weight adjustment to optimal learning methods, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.2-5, 2001.
DOI : 10.1109/ICIP.2001.958036

C. Carson, M. Thomas, S. Belongie, J. Hellerstein, and J. Malik, Blobworld: A System for Region-Based Image Indexing and Retrieval, Third Int. Conf. on Visual Information Systems, 1999.
DOI : 10.1007/3-540-48762-X_63

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2003.
DOI : 10.1023/B:VISI.0000029664.99615.94

W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman et al., <title>QBIC project: querying images by content, using color, texture, and shape</title>, Storage and Retrieval for Image and Video Databases, pp.173-187, 1993.
DOI : 10.1117/12.143648

S. Santini, A. Gupta, and R. Jain, Emergent semantics through interaction in image databases, IEEE Transactions on Knowledge and Data Engineering, vol.13, issue.3, pp.337-351, 2001.
DOI : 10.1109/69.929893

N. Vasconcelos, Bayesian models for visual information retrieval, 2000.

O. Chapelle, P. Haffner, and V. Vapnik, Svms for histogram based image classification, IEEE Transactions on Neural Networks, vol.9, 1999.

S. Tong and D. Koller, Support vector machine active learning with applications to text classification, Journal of Machine Learning Research, vol.2, pp.45-66, 2001.

F. Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys, vol.34, issue.1, pp.1-47, 2002.
DOI : 10.1145/505282.505283

A. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.12, pp.1349-1380, 2000.
DOI : 10.1109/34.895972

S. Berretti, A. D. Bimbo, and P. Pala, Merging Results for Distributed Content Based Image Retrieval, Multimedia Tools and Applications, vol.24, issue.3, pp.215-232, 2004.
DOI : 10.1023/B:MTAP.0000039388.63801.67

I. King, C. H. Ng, and K. C. Sia, Distributed content-based visual information retrieval system on peer-to-peer networks, ACM Transactions on Information Systems, vol.22, issue.3, pp.477-501, 2004.
DOI : 10.1145/1010614.1010619

Y. Jiao and A. R. Hurson, Performance Analysis of Mobile Agents in Mobile Distributed Information Retrieval System ??? A Quantitative Case Study, Journal of Interconnection Networks, vol.05, issue.03, pp.351-372, 2004.
DOI : 10.1142/S0219265904001210

D. B. Lange and M. Oshima, Seven good reasons for mobile agents, Communications of the ACM, vol.42, issue.3, pp.88-89, 1999.
DOI : 10.1145/295685.298136

V. Roth, U. Pinsdorf, and J. Peters, A distributed content-based search engine based on mobile code, Proceedings of the 2005 ACM symposium on Applied computing , SAC '05, pp.66-73, 2005.
DOI : 10.1145/1066677.1066697

E. Bonabeau, M. Dorigo, and G. Theraulaz, The social insect paradigm for optimization and control, Nature, vol.406, issue.6791, pp.39-42, 2000.
DOI : 10.1038/35017500

J. Deneubourg, S. Goss, N. Franks, A. Sendova-franks, C. Detrain et al., The dynamics of collective sorting: Robot-like ants and ant-like robots, From Animals to Animats: Proc. First Int. Conference on Simulation of Adaptive Behavior, pp.356-363, 1990.

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, pp.273-297, 1995.
DOI : 10.1007/BF00994018

M. Dorigo, V. Maniezzo, and A. Colorni, Ant system: optimization by a colony of cooperating agents, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.26, issue.1, pp.29-41, 1996.
DOI : 10.1109/3477.484436

E. Bonabeau, M. Dorigo, and G. Theraulaz, Inspiration for optimization from social insect behaviour, Nature, vol.406, issue.6791, pp.39-42, 2000.
DOI : 10.1038/35017500

S. Tong and E. Chang, Support vector machine active learning for image retrieval, Proceedings of the ninth ACM international conference on Multimedia , MULTIMEDIA '01, 2001.
DOI : 10.1145/500141.500159

D. Lewis and J. Catlett, Heterogenous uncertainty sampling for supervised learning, International Confenrence on Machine Learning, 1994.

J. Park, On-line learning by active sampling using orthogonal decision support vectors, IEEE Neural Networks for Signal Processing, 2000.

M. Cord, P. Gosselin, and S. Philipp-foliguet, Stochastic exploration and active learning for image retrieval, Image and Vision Computing, vol.25, issue.1, pp.14-23, 2007.
DOI : 10.1016/j.imavis.2006.01.004
URL : https://hal.archives-ouvertes.fr/hal-00520289

D. Picard, M. Cord, and A. , CBIR in Distributed Databases using a Multi-Agent System, 2006 International Conference on Image Processing, 2006.
DOI : 10.1109/ICIP.2006.313069
URL : https://hal.archives-ouvertes.fr/hal-00449299